Unable to connect hive metastore from sparksql [duplicate] - eclipse

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This question already has answers here:
How to connect Spark SQL to remote Hive metastore (via thrift protocol) with no hive-site.xml?
(11 answers)
Closed 2 years ago.
Hive .14
Spark 1.6
.Trying to connect hive table from spark pragmatically. I have already put my hive-site.xml in spark conf folder. But when I run this code, everytime its connecting to underlying hive metastore i.e. Derby. I tried googled a lot but evertywhere I am getting suggestion to put hive-site.xml in spark cofiguration folder, which I already did. Please someone suggest me the solution.Below is my code
FYI: My existing hive is using MYSQL as metastore.
I am running this code directly from eclipse, not using spark-submit utility.
package org.scala.spark
import org.apache.spark.SparkContext
import org.apache.spark.SparkConf
import org.apache.spark.sql.hive.HiveContext
object HiveToHdfs {
def main(args: Array[String])
{
val conf=new SparkConf().setAppName("HDFS to Local").setMaster("local")
val sc=new SparkContext(conf)
val hiveContext=new org.apache.spark.sql.hive.HiveContext(sc)
import hiveContext.implicits._
hiveContext.sql("load data local inpath '/home/cloudera/Documents/emp_table.txt' into table employee")
sc.stop()
}
}
Below are my eclipse error log:
16/11/18 22:09:03 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MFieldSchema" is tagged as "embedded-only" so does not have its own datastore table.
16/11/18 22:09:03 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MOrder" is tagged as "embedded-only" so does not have its own datastore table.
16/11/18 22:09:06 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MFieldSchema" is tagged as "embedded-only" so does not have its own datastore table.
16/11/18 22:09:06 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MOrder" is tagged as "embedded-only" so does not have its own datastore table.
**16/11/18 22:09:06 INFO MetaStoreDirectSql: Using direct SQL, underlying DB is DERBY**
16/11/18 22:09:06 INFO ObjectStore: Initialized ObjectStore
16/11/18 22:09:06 WARN ObjectStore: Version information not found in metastore. hive.metastore.schema.verification is not enabled so recording the schema version 1.2.0
16/11/18 22:09:06 WARN ObjectStore: Failed to get database default, returning NoSuchObjectException
16/11/18 22:09:07 INFO HiveMetaStore: Added admin role in metastore
16/11/18 22:09:07 INFO HiveMetaStore: Added public role in metastore
16/11/18 22:09:07 INFO HiveMetaStore: No user is added in admin role, since config is empty
16/11/18 22:09:07 INFO HiveMetaStore: 0: get_all_databases
16/11/18 22:09:07 INFO audit: ugi=cloudera ip=unknown-ip-addr cmd=get_all_databases
16/11/18 22:09:07 INFO HiveMetaStore: 0: get_functions: db=default pat=*
16/11/18 22:09:07 INFO audit: ugi=cloudera ip=unknown-ip-addr cmd=get_functions: db=default pat=*
16/11/18 22:09:07 INFO Datastore: The class "org.apache.hadoop.hive.metastore.model.MResourceUri" is tagged as "embedded-only" so does not have its own datastore table.
Exception in thread "main" java.lang.RuntimeException: java.lang.RuntimeException: The root scratch dir: /tmp/hive on HDFS should be writable. Current permissions are: rwx------
at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:522)
at org.apache.spark.sql.hive.client.ClientWrapper.<init>(ClientWrapper.scala:194)
at org.apache.spark.sql.hive.client.IsolatedClientLoader.createClient(IsolatedClientLoader.scala:238)
at org.apache.spark.sql.hive.HiveContext.executionHive$lzycompute(HiveContext.scala:218)
at org.apache.spark.sql.hive.HiveContext.executionHive(HiveContext.scala:208)
at org.apache.spark.sql.hive.HiveContext.functionRegistry$lzycompute(HiveContext.scala:462)
at org.apache.spark.sql.hive.HiveContext.functionRegistry(HiveContext.scala:461)
at org.apache.spark.sql.UDFRegistration.<init>(UDFRegistration.scala:40)
at org.apache.spark.sql.SQLContext.<init>(SQLContext.scala:330)
at org.apache.spark.sql.hive.HiveContext.<init>(HiveContext.scala:90)
at org.apache.spark.sql.hive.HiveContext.<init>(HiveContext.scala:101)
at org.scala.spark.HiveToHdfs$.main(HiveToHdfs.scala:15)
at org.scala.spark.HiveToHdfs.main(HiveToHdfs.scala)
Caused by: java.lang.RuntimeException: The root scratch dir: /tmp/hive on HDFS should be writable. Current permissions are: rwx------
at org.apache.hadoop.hive.ql.session.SessionState.createRootHDFSDir(SessionState.java:612)
at org.apache.hadoop.hive.ql.session.SessionState.createSessionDirs(SessionState.java:554)
at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:508)
... 12 more
16/11/18 22:09:07 INFO SparkContext: Invoking stop() from shutdown hook
Please let me know if any other in other information is also needed to rectify it.

Answer 1

check this link -> https://issues.apache.org/jira/browse/SPARK-15118
metastore might be using mysql db
the above error is from,
<property>
<name>hive.exec.scratchdir</name>
<value>/tmp/hive</value>
<description>HDFS root scratch dir for Hive jobs which gets created with write all (733) permission. For each connecting user, an HDFS scratch dir: ${hive.exec.scratchdir}/<username> is created, with ${hive.scratch.dir.permission}.</description>
</property>
give permission for /tmp/hive